door_a9015a46f924

ask

Ask about this platform: capabilities, pricing, policies. Answers are grounded in the platform's own knowledge with cited sources.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "question": "<question>"
    },
    "name": "ask"
  }
}

Input Schema

Name	Required	Description	Default
`question`	Yes	The question, in plain language (max 2000 chars).

Schema Changelog

Changes observed during successful MCP inspections.

First observedAug 22, 2026

TDQS

A3.5/5.0

Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full behavioral transparency burden. It does disclose that answers are 'grounded in the platform's own knowledge with cited sources', which is a useful behavioral trait. However, it does not disclose other aspects like read-only nature, latency, or failure modes, leaving some ambiguity.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, immediately states the primary function, and provides key behavioral notes (grounding and citations) without redundancy. It wastes no words and front-loads the most critical information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple query tool with a single parameter and no output schema, the description is nearly complete. It explains what the tool does, the scope of questions, and the nature of answers. One might wish for an explicit statement about return format, but the simplicity of the tool makes this minor gap acceptable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema fully describes the single parameter 'question' with a clear description and character limit. The tool description adds contextual meaning by specifying the type of questions (capabilities, pricing, policies), which helps the agent formulate appropriate queries beyond the schema's literal definition.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with a specific verb ('ask') and resource ('this platform') and enumerates the subject areas (capabilities, pricing, policies). It does not explicitly differentiate it from the sibling tool 'about', but the description is clear on its own.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance on when to use this tool versus the sibling 'about' tool, nor does it mention any exclusions or alternative tools. There is no explicit 'when' or 'when not to use' context, leaving usage decisions to the agent's inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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